NetStart produces neural network predictions of translation start in vertebrate and Arabidopsis thaliana nucleotide sequences. NetStart has been trained on cDNA-like sequences and will therefore presumably have better performance for cDNAs and ESTs. We have not tested the performance on genome data which may contain introns adjacent to the start codon.
MetaTISA is tool with an aim to improve translationa initiation sites (TISs) prediction of current gene-finders for metagenomes. The method employs a two-step strategy to predict TISs by first clustering metagenomic fragments into phylogenetic groups and then predicting TISs independently for each group in an unsupervised manner. As evaluated on experimentally verified TISs, MetaTISA greatly improves the accuracies of TIS prediction of current gene-finders.
Bagheera is a web server of prediction of genes in yeast species by providing the correct CUG decoding scheme , that allows determining the most probable CUG codon translation for a given transcriptome or genome assembly based on extensive reference data.
The Synergizer database is a growing repository of gene and protein identifier synonym relationships. This tool facilitates the conversion of identifiers from one naming scheme (a.k.a “namespace”) to another.